Следене
Yuansheng Hua
Yuansheng Hua
Signal Processing in Earth Observation, Technical University of Munich (TUM) & Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR)
Потвърден имейл адрес: dlr.de
Заглавие
Позовавания
Позовавания
Година
Deep learning meets SAR: Concepts, models, pitfalls, and perspectives
XX Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler
IEEE Geoscience and Remote Sensing Magazine 9 (4), 143-172, 2021
2252021
A relation-augmented fully convolutional network for semantic segmentation in aerial scenes
L Mou, Y Hua, XX Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1892019
Relation matters: Relational context-aware fully convolutional network for semantic segmentation of high-resolution aerial images
L Mou, Y Hua, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7557-7569, 2020
1432020
Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification
Y Hua, L Mou, XX Zhu
ISPRS journal of photogrammetry and remote sensing 149, 188-199, 2019
1432019
So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets]
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ...
IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020
872020
Semantic segmentation of remote sensing images with sparse annotations
Y Hua, D Marcos, L Mou, XX Zhu, D Tuia
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
862021
Relation network for multilabel aerial image classification
Y Hua, L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4558-4572, 2020
782020
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ...
arXiv preprint arXiv:1912.12171, 2019
722019
Deep reinforcement learning for band selection in hyperspectral image classification
L Mou, S Saha, Y Hua, F Bovolo, L Bruzzone, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
672021
CG-Net: Conditional GIS-aware network for individual building segmentation in VHR SAR images
Y Sun, Y Hua, L Mou, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
472021
Ambient sound helps: Audiovisual crowd counting in extreme conditions
D Hu, L Mou, Q Wang, J Gao, Y Hua, D Dou, XX Zhu
arXiv preprint arXiv:2005.07097, 2020
332020
Era: A data set and deep learning benchmark for event recognition in aerial videos [software and data sets]
L Mou, Y Hua, P Jin, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 8 (4), 125-133, 2020
322020
Building footprint generation through convolutional neural networks with attraction field representation
Q Li, L Mou, Y Hua, Y Shi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021
242021
Learning multi-label aerial image classification under label noise: A regularization approach using word embeddings
Y Hua, S Lobry, L Mou, D Tuia, XX Zhu
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
232020
Instance segmentation of buildings using keypoints
Q Li, L Mou, Y Hua, Y Sun, P Jin, Y Shi, XX Zhu
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
232020
Label relation inference for multi-label aerial image classification
Y Hua, L Mou, XX Zhu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
202019
Multi-label aerial image classification using a bidirectional class-wise attention network
Y Hua, L Mou, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
172019
Large-scale building height estimation from single VHR SAR image using fully convolutional network and GIS building footprints
Y Sun, Y Hua, L Mou, XX Zhu
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
172019
LAHNet: A convolutional neural network fusing low-and high-level features for aerial scene classification
Y Hua, L Mou, XX Zhu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
162018
Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks
Y Hua, L Mou, J Lin, K Heidler, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 177, 89-102, 2021
142021
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